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This is the best way to understand how ML models actually work! Use Drawdata to draw a 2D dataset in Jupyter. Use it to actively pick data from the widget and update the model as the data is being drawn! Fully interactive, real-time, and open-source!

Daily Dose of Data Science

51,413 subscribers

52,132 просмотров • 10 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

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Комментарии: 6

Фото профиля Akshay 🚀

Akshay 🚀10 месяцев назад

Incredible!

Фото профиля Artificial Shitposting Intelligence

Artificial Shitposting Intelligence10 месяцев назад

This notebook should be used to redraw the borders of all the countries on Earth.

Фото профиля Risichad 🦾

Risichad 🦾10 месяцев назад

Bubbles

Фото профиля Gauthier Mady | The Analyst📊

Gauthier Mady | The Analyst📊10 месяцев назад

@grok le nom du logiciel

Фото профиля Himanshu Kumar

Himanshu Kumar10 месяцев назад

That's a fantastic idea, Daily! Real-time updates while drawing sounds like a game-changer for understanding ML models, isn't it?

Фото профиля Kim Noël ⚡ 📖

Kim Noël ⚡ 📖10 месяцев назад

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This is the coolest tool you'll see today! Introducing Drawdata! 🚀 It allows you to draw a 2-D dataset of any shape in a jupyter notebook. A very handy tool for learning & understanding the behaviour of ML algorithms! Check this out👇

This is the coolest tool you'll see today! Introducing Drawdata! 🚀 It allows you to draw a 2-D dataset of any shape in a jupyter notebook. A very handy tool for learning & understanding the behaviour of ML algorithms! Check this out👇

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The future of AI is open-source. And ollama is the easiest way to build AI applications with open-source LLMs. Here's how to build a free, private RAG app using open-source tools. We'll use: - Ollama for LLMs and embedding models - PostgreSQL for data storage and retrieval - pgai Vectorizer for embedding creation and sync (I use Nomic for embeddings and tinnyllama as my LLM but you can substitute them for any models on Ollama)

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Andrew Ng

85,182 просмотров • 1 год назад

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Base Labs

239,092 просмотров • 23 дней назад

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25,101 просмотров • 5 месяцев назад

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1,163,582 просмотров • 11 месяцев назад

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ChatGPT

3,695,278 просмотров • 16 дней назад

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kwindla

274,867 просмотров • 8 месяцев назад

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David Sacks says the data kills the open-source-is-winning narrative, closed models just went from 81% to 89% of enterprise spend. "This is why the share of wallet of closed models actually increased. I think that open source went from 19% last year to 11% this year. So open source as a share of enterprise spending is actually decreasing... Anyone who's saying these closed models are somehow losing, you're just not seeing it in the data." "Nikesh Arora said enterprises would like what he called model fungibility. They would love to commoditize these models and just hot swap them, headless. But then what do you do about memory, context, history? No one's really figured out a way to abstract that stuff away from the model yet."

Fireside Alpha

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The best way to grow in the Data Space as a Data Analyst is to join a Community.

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Annie🦋

17,071 просмотров • 7 месяцев назад

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Santiago

55,609 просмотров • 2 лет назад

Open models are already being used in the enterprise. Over 85% of the Fortune 500 companies already use Ollama to fulfill specific tasks. Jeffrey Morgan Why open models and Ollama? Ownership. Open models are yours to keep, customize, and optimize. Affordable. Run it the way you like, in your own environment. Private. Your data belongs to you.

Open models are already being used in the enterprise. Over 85% of the Fortune 500 companies already use Ollama to fulfill specific tasks. Jeffrey Morgan Why open models and Ollama? Ownership. Open models are yours to keep, customize, and optimize. Affordable. Run it the way you like, in your own environment. Private. Your data belongs to you.

ollama

43,242 просмотров • 2 месяцев назад

Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo

Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo

a16z

39,424 просмотров • 1 месяц назад

world models are here! fal is the best platform for real-time audio and video inference. RT for access 😇 incredible work by Eloi Alonso to open source this model

world models are here! fal is the best platform for real-time audio and video inference. RT for access 😇 incredible work by Eloi Alonso to open source this model

fal

123,318 просмотров • 1 год назад

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#WATCH | Delhi | Principal Secretary to PM, Dr PK Mishra says, "The Indian statistical system, which has a glorious past, saw some decline for a few years, but the system itself and others have been able to revive it. Also, the Prime Minister's office played a catalyst and a facilitator. The way we have now improved our system, I'm sure it will again become very well established and predominant globally." "A lot of data is generated by our departments, ministries and digital activities also. So, how to use the potential of the data, how to standardise it, how to make it compatible with each other, how to derive inferences from the data, how to ensure that the data is as trusted as comprehensive and as compatible as the earlier survey data or maybe it is expanding the scope of our statistics."

ANI

87,293 просмотров • 3 месяцев назад

Introducing MagicPath 2.0. MagicPath is now a multiplayer canvas for humans and agents like Codex or Claude Code to design and build with AI. Use your codebase, grab data from anywhere, and see the agents work in real time as a team while building fully functional prototypes.

Introducing MagicPath 2.0. MagicPath is now a multiplayer canvas for humans and agents like Codex or Claude Code to design and build with AI. Use your codebase, grab data from anywhere, and see the agents work in real time as a team while building fully functional prototypes.

Pietro Schirano

419,514 просмотров • 4 месяцев назад

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Pavilion Post

11,826 просмотров • 2 месяцев назад